基于MDOS的重庆市2015年气象观测数据质量分析

实时与历史结合的气象资料业务系统（MDOS）的运行实施，完善了气象资料质量控制体系，调整了气象资料业务布局和流程.本文利用2015年重庆市35个国家台站、1 914个区域自动站的气象常规观测小时数据，按台站划分、观测要素分类，以可用率、可疑率、错误率、缺测率等为指标，基于MDOS对数据进行评估与统计分析.结果表明，重庆市2015年国家站自动观测资料的可用率平均可达99.56%，平均缺测率为0.44%，平均可疑率、平均错误率均在0.01%以下；区域站自动观测资料可用率平均为67.82%，平均缺测率为32.12%，平均错误率为0.06%，平均可疑率为0.01%以下.据此，本研究总结了影响气象要素可用率的主要因素.

On Quality Statistics and Analysis of Meteorological Observation Data of Chongqing in 2015 Based on MDOS

The implementation of the real-time and historical combined meteorological data service system (MDOS) improved the meteorological data quality control system and adjusted the meteorological data business layout and flow. In this paper, we use the hourly observational data of 35 national stations and 1914 regional stations in Chongqing in 2015. According to the station classification and observation factors, we use the availability rate, suspicious rate, error rate, and missing rate as indicators. Based on MDOS data evaluation and statistical analysis. The results show that the availability rate of automatic observation data of national stations in Chongqing in 2015 averages up to 99.56%, the average rate of missed rate is 0.44%, the average suspicious rate and average error rate are all below 0.01%, and the availability of automatic observation data at regional stations is average. For 67.82%, the average missing rate was 32.12%, the average error rate was 0.06%, and the average suspicious rate was less than 0.01%. Based on this, this paper summarized the main factors affecting the meteorological factor availability rate.